Cato Networks

Cato Networks

Professional Services Consultant - AI Security

Dallas, Texas, United States

Sponsorship not specified$53k-$800kDetected 8 days ago
PythonBashDatabricksAWSAzureCloud PlatformsKubernetesTerraformPrometheusGrafanaDatadogMachine LearningLLMsComplianceStakeholder ManagementDNSLoad BalancingCommunicationCollaborationProblem SolvingCISSP

About the role

  • Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud.
  • It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more).

Responsibilities

  • Develop meaningful relationships with key customer stakeholders and their partners, adopting a consultative and prescriptive approach that inspires trust and confidence
  • Work with customer teams to design secure AI architectures and establish governance frameworks aligned to standards such as NIST AI RMF, ISO/IEC 42001, and EU AI Act guidance
  • Foster collaboration with our product management, support and engineering teams by providing feedback from the field on features and functionality, influencing roadmap priorities based on customer needs and emerging threats
  • Support pre-sales scoping of professional services for new customer engagements

Requirements

  • Experience designing and securing AI/ML infrastructure including AWS SageMaker, AWS Bedrock, Azure AI Foundry, Google Vertex AI, Databricks, GPU-accelerated compute, and model inference pipelines
  • Familiarity with container security, runtime protection, and service mesh architectures (Istio, App Mesh)
  • Practical experience with observability and monitoring stacks (e.g., CloudWatch, Prometheus, Grafana, Datadog)
  • Knowledge of data sovereignty, residency requirements and compliance frameworks relevant to AI workloads (e.g., FedRAMP, SOC 2, ISO 27001, NIST 800-53, HIPPA, PCI, HITRUST, GDPR)
  • Excellent troubleshooting and problem-solving skills with an innate ability to methodically get to the root of issues
  • 5+ years of experience in cloud architecture with a primary focus on AWS or Azure, including hands-on deployment and management of Amazon EKS or ECS, or Azure Kubernetes Service and hybrid connectivity services
  • 3+ years of experience in a customer-facing role (e.g., consulting, professional services, pre-sales, managed services) for a high-tech software or technology vendor with a proven track record leading enterprise consulting or professional services engagements
  • Exposure to implementation of API gateways (e.g., Zuul, Apigee, Kong, Amazon API Gateway, Azure API Management) and AI application specific gateways (e.g., LiteLLM, Portkey, Helicone, TrueFoundry)
  • Solid understanding of public cloud networking constructs (e.g., AWS VPCs, Transit Gateway, Direct Connect, Route 53, and Gateway Load Balancer - Azure VNets, VNGs, ExpressRoute, vWAN, Load Balancer, and DNS)
  • Exposure to unique threat landscape for AI and LLMs including AI specific threat models and risks (e.g., prompt injection, data poisoning/leakage/exfiltration, model inversion/manipulations/poisoning, and other adversarial attacks)
  • Excellent communication and stakeholder management skills, capable of influencing at all levels and gaining a 'Trusted Advisor' status with key stakeholders
  • Industry accredited security certifications (e.g., CISSP, CCSK, CISM) and AI security-specific credentials

Nice to have

  • Proficient with Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK with version-controlled deployment pipelines and automation scripting skills in Python, Bash, or Go is a plus
  • Familiarity with data protection regulations and AI Security frameworks (e.g., GDPR, NIST AI RMF, ISO/IEC 27001, ISO/IEC 42001, OWASP Top 10 for LLMs, MITRE ATLAS) is a plus.
  • Solid command of the English language (written and spoken) with additional language skills is a plus.

Skills

  • Welcome to the future of cloud networking and security!

Compensation

  • Cato provides a competitive salary and comprehensive benefits plan.

Benefits

  • for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits.

Company info

  • Lead end-to-end customer engagements implementing Cato AI security solution for AI risk management, model security, and data protection so that our customers can realize the total value of their investment in our technology
  • Contribute to development of internal knowledge sharing, solution playbooks, and enablement materials for partners and customers
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This listing is sourced directly from Cato Networks's careers page and normalized into a canonical job model.